Results: Nasalance.sas

Gillian DeBoer's Nasalance Data

The Print Procedure

Data Set WORK.LONG3

Obs Participant Condition Feedback Nasalance Time Subject
1 4 Control1_rep1 50 39 1 1
2 4 Control1_rep2 50 39 2 1
3 4 Control1_rep3 50 38 3 1
4 4 Control1_rep4 50 41 4 1
5 4 Control1_rep5 50 40 5 1
6 4 Control1_rep6 50 37 6 1
7 4 Control1_rep7 50 40 7 1
8 4 Control1_rep8 50 40 8 1
9 4 Control1_rep9 50 37 9 1
10 4 Control1_rep10 50 39 10 1
11 4 Control1_rep11 50 41 11 1
12 4 Control1_rep12 50 35 12 1
13 4 Control1_rep13 50 36 13 1
14 4 Control1_rep14 50 39 14 1
15 4 Control1_rep15 50 36 15 1
16 4 Control1_rep16 50 38 16 1
17 4 Control1_rep17 50 38 17 1
18 4 Control1_rep18 50 35 18 1
19 4 Set3_50to75rep1 50 42 19 1
20 4 Set3_50to75rep2 50 36 20 1
21 4 Set3_50to75rep3 50 39 21 1
22 4 Set3_50to75rep4 55 38 22 1
23 4 Set3_50to75rep5 55 38 23 1
24 4 Set3_50to75rep6 55 35 24 1
25 4 Set3_50to75rep7 60 37 25 1
26 4 Set3_50to75rep8 60 36 26 1
27 4 Set3_50to75rep9 60 35 27 1
28 4 Set3_50to75rep10 65 35 28 1
29 4 Set3_50to75rep11 65 36 29 1
30 4 Set3_50to75rep12 65 37 30 1
31 4 Set3_50to75rep13 70 33 31 1
32 4 Set3_50to75rep14 70 35 32 1
33 4 Set3_50to75rep15 70 36 33 1
34 4 Set3_50to75rep16 75 33 34 1
35 4 Set3_50to75rep17 75 . 35 1
36 4 Set3_50to75rep18 75 . 36 1
37 4 set3_75to100_rep1 75 39 37 1
38 4 set3_75to100_rep2 75 34 38 1
39 4 set3_75to100_rep3 75 35 39 1
40 4 set3_75to100_rep4 80 34 40 1
41 4 set3_75to100_rep5 80 29 41 1
42 4 set3_75to100_rep6 80 32 42 1
43 4 set3_75to100_rep7 85 32 43 1
44 4 set3_75to100_rep8 85 31 44 1
45 4 set3_75to100_rep9 85 31 45 1
46 4 set3_75to100_rep10 90 32 46 1
47 4 set3_75to100_rep11 90 35 47 1
48 4 set3_75to100_rep12 90 35 48 1
49 4 set3_75to100_rep13 95 34 49 1
50 4 set3_75to100_rep14 95 33 50 1
51 4 set3_75to100_rep15 95 35 51 1
52 4 set3_75to100_rep16 100 31 52 1
53 4 set3_75to100_rep17 100 29 53 1
54 4 set3_75to100_rep18 100 32 54 1
55 4 set3_100to75_rep1 100 35 55 1
56 4 set3_100to75_rep2 100 35 56 1
57 4 set3_100to75_rep3 100 35 57 1
58 4 set3_100to75_rep4 95 31 58 1
59 4 set3_100to75_rep5 95 32 59 1
60 4 set3_100to75_rep6 95 38 60 1
61 4 set3_100to75_rep7 90 37 61 1
62 4 set3_100to75_rep8 90 35 62 1
63 4 set3_100to75_rep9 90 36 63 1
64 4 set3_100to75_rep10 85 34 64 1
65 4 set3_100to75_rep11 85 31 65 1
66 4 set3_100to75_rep12 85 31 66 1
67 4 set3_100to75_rep13 80 35 67 1
68 4 set3_100to75_rep14 80 32 68 1
69 4 set3_100to75_rep15 80 33 69 1
70 4 set3_100to75_rep16 75 37 70 1
71 4 set3_100to75_rep17 75 37 71 1
72 4 set3_100to75_rep18 75 37 72 1
73 4 set3_75to50_rep1 75 37 73 1
74 4 set3_75to50_rep2 75 36 74 1
75 4 set3_75to50_rep3 75 35 75 1
76 4 set3_75to50_rep4 70 38 76 1
77 4 set3_75to50_rep5 70 34 77 1
78 4 set3_75to50_rep6 70 37 78 1
79 4 set3_75to50_rep7 65 37 79 1
80 4 set3_75to50_rep8 65 35 80 1
81 4 set3_75to50_rep9 65 36 81 1
82 4 set3_75to50_rep10 60 36 82 1
83 4 set3_75to50_rep11 60 37 83 1
84 4 set3_75to50_rep12 60 38 84 1
85 4 set3_75to50_rep13 55 34 85 1
86 4 set3_75to50_rep14 55 38 86 1
87 4 set3_75to50_rep15 55 36 87 1
88 4 set3_75to50_rep16 50 38 88 1
89 4 set3_75to50_rep17 50 36 89 1
90 4 set3_75to50_rep18 50 34 90 1
91 4 set3_50to25_rep1 50 39 91 1
92 4 set3_50to25_rep2 50 37 92 1
93 4 set3_50to25_rep3 50 34 93 1
94 4 set3_50to25_rep4 45 33 94 1
95 4 set3_50to25_rep5 45 34 95 1
96 4 set3_50to25_rep6 45 37 96 1
97 4 set3_50to25_rep7 40 36 97 1
98 4 set3_50to25_rep8 40 37 98 1
99 4 set3_50to25_rep9 40 35 99 1
100 4 set3_50to25_rep10 35 36 100 1
101 4 set3_50to25_rep11 35 36 101 1
102 4 set3_50to25_rep12 35 37 102 1
103 4 set3_50to25_rep13 30 37 103 1
104 4 set3_50to25_rep14 30 37 104 1
105 4 set3_50to25_rep15 30 37 105 1
106 4 set3_50to25_rep16 25 39 106 1
107 4 set3_50to25_rep17 25 37 107 1
108 4 set3_50to25_rep18 25 36 108 1
109 4 set3_25to0_rep1 25 36 109 1
110 4 set3_25to0_rep2 25 33 110 1
111 4 set3_25to0_rep3 25 39 111 1
112 4 set3_25to0_rep4 20 36 112 1
113 4 set3_25to0_rep5 20 36 113 1
114 4 set3_25to0_rep6 20 35 114 1
115 4 set3_25to0_rep7 15 38 115 1
116 4 set3_25to0_rep8 15 36 116 1
117 4 set3_25to0_rep9 15 39 117 1
118 4 set3_25to0_rep10 10 39 118 1
119 4 set3_25to0_rep11 10 34 119 1
120 4 set3_25to0_rep12 10 36 120 1
121 4 set3_25to0_rep13 5 34 121 1
122 4 set3_25to0_rep14 5 37 122 1
123 4 set3_25to0_rep15 5 36 123 1
124 4 set3_25to0_rep16 0 37 124 1
125 4 set3_25to0_rep17 0 39 125 1
126 4 set3_25to0_rep18 0 35 126 1
127 4 set3_0to25_rep1 0 41 127 1
128 4 set3_0to25_rep2 0 38 128 1
129 4 set3_0to25_rep3 0 40 129 1
130 4 set3_0to25_rep4 5 41 130 1
131 4 set3_0to25_rep5 5 43 131 1
132 4 set3_0to25_rep6 5 38 132 1
133 4 set3_0to25_rep7 10 34 133 1
134 4 set3_0to25_rep8 10 37 134 1
135 4 set3_0to25_rep9 10 37 135 1
136 4 set3_0to25_rep10 15 40 136 1
137 4 set3_0to25_rep11 15 35 137 1
138 4 set3_0to25_rep12 15 37 138 1
139 4 set3_0to25_rep13 20 37 139 1
140 4 set3_0to25_rep14 20 37 140 1
141 4 set3_0to25_rep15 20 37 141 1
142 4 set3_0to25_rep16 25 35 142 1
143 4 set3_0to25_rep17 25 36 143 1
144 4 set3_0to25_rep18 25 36 144 1
145 4 set3_25to50_rep1 25 38 145 1
146 4 set3_25to50_rep2 25 34 146 1
147 4 set3_25to50_rep3 25 38 147 1
148 4 set3_25to50_rep4 30 38 148 1
149 4 set3_25to50_rep5 30 35 149 1
150 4 set3_25to50_rep6 30 40 150 1
151 4 set3_25to50_rep7 35 35 151 1
152 4 set3_25to50_rep8 35 35 152 1
153 4 set3_25to50_rep9 35 35 153 1
154 4 set3_25to50_rep10 40 37 154 1
155 4 set3_25to50_rep11 40 36 155 1
156 4 set3_25to50_rep12 40 40 156 1
157 4 set3_25to50_rep13 45 36 157 1
158 4 set3_25to50_rep14 45 37 158 1
159 4 set3_25to50_rep15 45 36 159 1
160 4 set3_25to50_rep16 50 36 160 1
161 4 set3_25to50_rep17 50 36 161 1
162 4 set3_25to50_rep18 50 33 162 1
163 4 Control2_rep1 50 39 163 1
164 4 Control2_rep2 50 37 164 1
165 4 Control2_rep3 50 35 165 1
166 4 Control2_rep4 50 37 166 1
167 4 Control2_rep5 50 34 167 1
168 4 Control2_rep6 50 36 168 1
169 4 Control2_rep7 50 38 169 1
170 4 Control2_rep8 50 38 170 1
171 4 Control2_rep9 50 37 171 1
172 4 Control2_rep10 50 37 172 1
173 4 Control2_rep11 50 35 173 1
174 4 Control2_rep12 50 37 174 1
175 4 Control2_rep13 50 35 175 1
176 4 Control2_rep14 50 36 176 1
177 4 Control2_rep15 50 37 177 1
178 4 Control2_rep16 50 36 178 1
179 4 Control2_rep17 50 39 179 1
180 4 Control2_rep18 50 35 180 1
181 5 Control1_rep1 50 41 1 2
182 5 Control1_rep2 50 41 2 2
183 5 Control1_rep3 50 42 3 2
184 5 Control1_rep4 50 42 4 2
185 5 Control1_rep5 50 43 5 2
186 5 Control1_rep6 50 41 6 2
187 5 Control1_rep7 50 42 7 2
188 5 Control1_rep8 50 43 8 2
189 5 Control1_rep9 50 41 9 2
190 5 Control1_rep10 50 41 10 2

Gillian DeBoer's Nasalance Data

The FREQ Procedure

The Freq Procedure

Table Participant

One-Way Frequencies

Participant Frequency Percent Cumulative
Frequency		 Cumulative
Percent
4 180 10.00 180 10.00
5 180 10.00 360 20.00
6 180 10.00 540 30.00
7 180 10.00 720 40.00
8 180 10.00 900 50.00
9 180 10.00 1080 60.00
10 180 10.00 1260 70.00
12 180 10.00 1440 80.00
13 180 10.00 1620 90.00
14 180 10.00 1800 100.00

Table Feedback

One-Way Frequencies

Feedback Frequency Percent Cumulative
Frequency		 Cumulative
Percent
0 60 3.33 60 3.33
5 60 3.33 120 6.67
10 60 3.33 180 10.00
15 60 3.33 240 13.33
20 60 3.33 300 16.67
25 120 6.67 420 23.33
30 60 3.33 480 26.67
35 60 3.33 540 30.00
40 60 3.33 600 33.33
45 60 3.33 660 36.67
50 480 26.67 1140 63.33
55 60 3.33 1200 66.67
60 60 3.33 1260 70.00
65 60 3.33 1320 73.33
70 60 3.33 1380 76.67
75 120 6.67 1500 83.33
80 60 3.33 1560 86.67
85 60 3.33 1620 90.00
90 60 3.33 1680 93.33
95 60 3.33 1740 96.67
100 60 3.33 1800 100.00

Gillian DeBoer's Nasalance Data

The MEANS Procedure

The Means Procedure

Summary statistics

Analysis Variable : Nasalance
Feedback N Obs N Mean Std Dev Minimum Maximum
0 60 60 33.9833333 7.3634270 21.0000000 45.0000000
5 60 60 33.6000000 7.4383341 20.0000000 44.0000000
10 60 60 34.0333333 7.1709552 21.0000000 48.0000000
15 60 60 34.0333333 7.5013370 20.0000000 47.0000000
20 60 60 34.0500000 7.3724751 21.0000000 47.0000000
25 120 120 33.2916667 6.7753828 20.0000000 44.0000000
30 60 60 33.1333333 7.2939879 15.0000000 45.0000000
35 60 60 32.2500000 6.7009359 21.0000000 42.0000000
40 60 60 32.6166667 6.4231880 18.0000000 42.0000000
45 60 60 32.9166667 6.2117758 20.0000000 45.0000000
50 480 477 32.9538784 6.6356222 20.0000000 46.0000000
55 60 60 32.7166667 7.0712875 19.0000000 47.0000000
60 60 60 32.2833333 6.7625381 18.0000000 46.0000000
65 60 60 31.2166667 6.9210846 17.0000000 43.0000000
70 60 60 31.4833333 6.5883607 19.0000000 44.0000000
75 120 118 30.4576271 6.5419672 16.0000000 45.0000000
80 60 60 28.5166667 6.1685140 17.0000000 42.0000000
85 60 60 27.1500000 5.8391577 17.0000000 41.0000000
90 60 60 27.0500000 5.6160333 18.0000000 38.0000000
95 60 60 27.2333333 5.5795227 18.0000000 40.0000000
100 60 60 26.7500000 5.3031011 16.0000000 36.0000000

Gillian DeBoer's Nasalance Data

The Print Procedure

Data Set WORK.MEANZ

Obs Feedback _TYPE_ _FREQ_ AveNasalance
1 . 0 1800 31.8713
2 0 1 60 33.9833
3 5 1 60 33.6000
4 10 1 60 34.0333
5 15 1 60 34.0333
6 20 1 60 34.0500
7 25 1 120 33.2917
8 30 1 60 33.1333
9 35 1 60 32.2500
10 40 1 60 32.6167
11 45 1 60 32.9167
12 50 1 480 32.9539
13 55 1 60 32.7167
14 60 1 60 32.2833
15 65 1 60 31.2167
16 70 1 60 31.4833
17 75 1 120 30.4576
18 80 1 60 28.5167
19 85 1 60 27.1500
20 90 1 60 27.0500
21 95 1 60 27.2333
22 100 1 60 26.7500

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

Gillian DeBoer's Nasalance Data

OLS Regression with DW using proc autoreg

The AUTOREG Procedure

The Autoreg Procedure

Model 1

Dependent Variable

Dependent Variable Nasalance

Gillian DeBoer's Nasalance Data

OLS Regression with DW using proc autoreg

The AUTOREG Procedure

Ordinary Least Squares Estimates

Fit Summary

Ordinary Least Squares Estimates
SSE 80654.823 DFE 1793
MSE 44.98317 Root MSE 6.70695
SBC 11939.2614 AIC 11928.2759
MAE 5.80420427 AICC 11928.2826
MAPE 19.8155426 HQC 11932.3317
Durbin-Watson 0.2016 Total R-Square 0.0782

Durbin-Watson Statistics

Durbin-Watson Statistics
Order DW Pr < DW Pr > DW
1 0.2016 <.0001 1.0000

NOTE: Pr<DW is the p-value for testing positive autocorrelation, and Pr>DW is the p-value for testing negative autocorrelation.

Parameter Estimates

Parameter Estimates
Variable DF Estimate Standard
Error		 t Value Approx
Pr > |t|
Intercept 1 35.5993 0.3413 104.31 <.0001
Feedback 1 -0.0746 0.006051 -12.33 <.0001

Gillian DeBoer's Nasalance Data

OLS Regression with DW using proc autoreg

The AUTOREG Procedure

Fit Diagnostics Plots

Fit Diagnostics for Nasalance

Fit Diagnostics for Nasalance

Gillian DeBoer's Nasalance Data

CS directly with proc mixed

The Mixed Procedure

The Mixed Procedure

Model Information

Model Information
Data Set WORK.LONG3
Dependent Variable Nasalance
Covariance Structure Compound Symmetry
Subject Effect Participant
Estimation Method REML
Residual Variance Method Profile
Fixed Effects SE Method Model-Based
Degrees of Freedom Method Between-Within

Dimensions

Dimensions
Covariance Parameters 2
Columns in X 2
Columns in Z 0
Subjects 10
Max Obs per Subject 180

Number of Observations

Number of Observations
Number of Observations Read 1800
Number of Observations Used 1795
Number of Observations Not Used 5

Iteration History

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 11934.50296561  
1 2 9340.99361258 0.00000000

Convergence Status

Convergence criteria met.

Covariance Parameter Estimates

Covariance Parameter Estimates
Cov Parm Subject Estimate Alpha Lower Upper
CS Participant 38.6283 0.05 2.8956 74.3610
Residual   10.2482 0.05 9.6076 10.9555

Fit Statistics

Fit Statistics
-2 Res Log Likelihood 9341.0
AIC (Smaller is Better) 9345.0
AICC (Smaller is Better) 9345.0
BIC (Smaller is Better) 9345.6

Null Model Likelihood Ratio Test

Null Model Likelihood Ratio Test
DF Chi-Square Pr > ChiSq
1 2593.51 <.0001

Type 3 Tests of Fixed Effects

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F
Feedback 1 1784 664.18 <.0001

Gillian DeBoer's Nasalance Data

CS random shock per subject with proc mixed

The Mixed Procedure

The Mixed Procedure

Model Information

Model Information
Data Set WORK.LONG3
Dependent Variable Nasalance
Covariance Structure Variance Components
Estimation Method REML
Residual Variance Method Profile
Fixed Effects SE Method Model-Based
Degrees of Freedom Method Containment

Class Level Information

Class Level Information
Class Levels Values
Participant 10 4 5 6 7 8 9 10 12 13 14

Dimensions

Dimensions
Covariance Parameters 2
Columns in X 2
Columns in Z 10
Subjects 1
Max Obs per Subject 1795

Number of Observations

Number of Observations
Number of Observations Read 1800
Number of Observations Used 1795
Number of Observations Not Used 5

Iteration History

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 11934.50296561  
1 2 9340.99361258 0.00000000

Convergence Status

Convergence criteria met.

Covariance Parameter Estimates

Covariance Parameter Estimates
Cov Parm Estimate Alpha Lower Upper
Participant 38.6283 0.05 18.2625 128.98
Residual 10.2482 0.05 9.6076 10.9555

Fit Statistics

Fit Statistics
-2 Res Log Likelihood 9341.0
AIC (Smaller is Better) 9345.0
AICC (Smaller is Better) 9345.0
BIC (Smaller is Better) 9345.6

Type 3 Tests of Fixed Effects

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F
Feedback 1 1784 664.18 <.0001

Gillian DeBoer's Nasalance Data

Just AR(1) with proc mixed

The Mixed Procedure

The Mixed Procedure

Model Information

Model Information
Data Set WORK.LONG3
Dependent Variable Nasalance
Covariance Structure Autoregressive
Subject Effect Participant
Estimation Method REML
Residual Variance Method Profile
Fixed Effects SE Method Model-Based
Degrees of Freedom Method Between-Within

Dimensions

Dimensions
Covariance Parameters 2
Columns in X 2
Columns in Z 0
Subjects 10
Max Obs per Subject 180

Number of Observations

Number of Observations
Number of Observations Read 1800
Number of Observations Used 1795
Number of Observations Not Used 5

Iteration History

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 11934.50296561  
1 2 8917.68224478 0.00000000

Convergence Status

Convergence criteria met.

Covariance Parameter Estimates

Covariance Parameter Estimates
Cov Parm Subject Estimate Alpha Lower Upper
AR(1) Participant 0.9035 0.05 0.8839 0.9230
Residual   45.2546 0.05 37.3354 56.0052

Fit Statistics

Fit Statistics
-2 Res Log Likelihood 8917.7
AIC (Smaller is Better) 8921.7
AICC (Smaller is Better) 8921.7
BIC (Smaller is Better) 8922.3

Null Model Likelihood Ratio Test

Null Model Likelihood Ratio Test
DF Chi-Square Pr > ChiSq
1 3016.82 <.0001

Type 3 Tests of Fixed Effects

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F
Feedback 1 1784 14.39 0.0002

Gillian DeBoer's Nasalance Data

Random shock from subject and AR(1) for errors

The Mixed Procedure

The Mixed Procedure

Model Information

Model Information
Data Set WORK.LONG3
Dependent Variable Nasalance
Covariance Structures Variance Components, Autoregressive
Subject Effect Participant
Estimation Method REML
Residual Variance Method Profile
Fixed Effects SE Method Model-Based
Degrees of Freedom Method Containment

Class Level Information

Class Level Information
Class Levels Values
Participant 10 4 5 6 7 8 9 10 12 13 14

Dimensions

Dimensions
Covariance Parameters 3
Columns in X 2
Columns in Z 10
Subjects 1
Max Obs per Subject 1795

Number of Observations

Number of Observations
Number of Observations Read 1800
Number of Observations Used 1795
Number of Observations Not Used 5

Iteration History

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 11934.50296561  
1 2 8620.69566305 0.00000000

Convergence Status

Convergence criteria met.

Covariance Parameter Estimates

Covariance Parameter Estimates
Cov Parm Subject Estimate Alpha Lower Upper
Participant   38.3312 0.05 18.0735 128.88
AR(1) Participant 0.5806 0.05 0.5422 0.6190
Residual   10.4059 0.05 9.4886 11.4638

Fit Statistics

Fit Statistics
-2 Res Log Likelihood 8620.7
AIC (Smaller is Better) 8626.7
AICC (Smaller is Better) 8626.7
BIC (Smaller is Better) 8627.6

Solution for Fixed Effects

Solution for Fixed Effects
Effect Estimate Standard
Error		 DF t Value Pr > |t|
Intercept 35.5946 1.9830 9 17.95 <.0001
Feedback -0.07449 0.005573 1784 -13.37 <.0001

Type 3 Tests of Fixed Effects

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F
Feedback 1 1784 178.68 <.0001

Gillian DeBoer's Nasalance Data

Feedback is class, Random shock from subject, AR(1) for errors

The Mixed Procedure

The Mixed Procedure

Model Information

Model Information
Data Set WORK.LONG3
Dependent Variable Nasalance
Covariance Structures Variance Components, Autoregressive
Subject Effect Participant
Estimation Method REML
Residual Variance Method Profile
Fixed Effects SE Method Model-Based
Degrees of Freedom Method Containment

Class Level Information

Class Level Information
Class Levels Values
Participant 10 4 5 6 7 8 9 10 12 13 14
Feedback 21 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

Dimensions

Dimensions
Covariance Parameters 3
Columns in X 22
Columns in Z 10
Subjects 1
Max Obs per Subject 1795

Number of Observations

Number of Observations
Number of Observations Read 1800
Number of Observations Used 1795
Number of Observations Not Used 5

Iteration History

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 11849.31614178  
1 2 8542.72517297 0.00000000

Convergence Status

Convergence criteria met.

Covariance Parameter Estimates

Covariance Parameter Estimates
Cov Parm Subject Estimate Alpha Lower Upper
Participant   38.3843 0.05 18.1102 128.85
AR(1) Participant 0.5349 0.05 0.4946 0.5751
Residual   9.4261 0.05 8.6306 10.3374

Fit Statistics

Fit Statistics
-2 Res Log Likelihood 8542.7
AIC (Smaller is Better) 8548.7
AICC (Smaller is Better) 8548.7
BIC (Smaller is Better) 8549.6

Type 3 Tests of Fixed Effects

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F
Feedback 20 1765 14.58 <.0001

Least Squares Means

Least Squares Means
Effect Feedback Estimate Standard
Error		 DF t Value Pr > |t|
Feedback 0 34.1915 2.0435 1765 16.73 <.0001
Feedback 5 33.7442 2.0246 1765 16.67 <.0001
Feedback 10 33.8718 2.0223 1765 16.75 <.0001
Feedback 15 34.0533 2.0218 1765 16.84 <.0001
Feedback 20 33.9091 2.0196 1765 16.79 <.0001
Feedback 25 33.3940 2.0018 1765 16.68 <.0001
Feedback 30 33.0771 2.0195 1765 16.38 <.0001
Feedback 35 32.1421 2.0216 1765 15.90 <.0001
Feedback 40 32.7761 2.0213 1765 16.22 <.0001
Feedback 45 32.6536 2.0161 1765 16.20 <.0001
Feedback 50 32.8619 1.9732 1765 16.65 <.0001
Feedback 55 32.6856 2.0161 1765 16.21 <.0001
Feedback 60 32.4217 2.0213 1765 16.04 <.0001
Feedback 65 31.0756 2.0216 1765 15.37 <.0001
Feedback 70 31.2584 2.0196 1765 15.48 <.0001
Feedback 75 30.3682 2.0019 1765 15.17 <.0001
Feedback 80 28.9025 2.0196 1765 14.31 <.0001
Feedback 85 27.4550 2.0218 1765 13.58 <.0001
Feedback 90 27.1275 2.0223 1765 13.41 <.0001
Feedback 95 27.2941 2.0246 1765 13.48 <.0001
Feedback 100 26.6344 2.0435 1765 13.03 <.0001